Nanotechnology: Effective Pesticide Solutions for Jawar Leaf Diseases

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Year : 2025 | Volume : 15 | Issue : 02 | Page :
    By

    Dr. Kazi Kutubuddin Sayyad Liyakat,

  1. Professor & Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology,, Maharashtra, India

Abstract

Jawar (Sorghum), a staple food crop in many parts of the world, faces significant challenges from various leaf diseases that can drastically reduce yields and impact food security. Traditional pesticide application, while offering some protection, often suffers from limitations such as low efficiency, environmental concerns, and the development of pesticide resistance in pathogens. The application of nanotechnology is a viable option, presenting novel strategies to solve these challenges and revolutionising the management of diseases that affect jawar leaf. This article explores the potential of nanotechnology in developing targeted and effective pesticide formulations for protecting Jawar crops from devastating leaf diseases. By leveraging exclusive properties of nanomaterials, we may enhance pesticide delivery, reduce environmental impact, and improve disease control efficacy. Nanotechnology offers a promising avenue for revolutionizing pesticide application in Jawar cultivation, providing targeted and effective solutions for managing leaf diseases. By leveraging exclusive properties of nanomaterials, we may enhance pesticide delivery, reduce environmental impact, and improve disease control efficacy. Sustained research and progress in this capacity are critical for getting the full possibility of nanotechnology in safeguarding Jawar crops and ensuring food security. As research progresses and challenges are addressed, nanotechnology holds the potential to transform disease management practices, leading to more sustainable and productive Jawar cultivation.

Keywords: Jawar Leaf, Diseases, Nanotechnology, Nanomaterial, Pesticide

[This article belongs to Journal of Nanoscience, NanoEngineering & Applications ]

How to cite this article:
Dr. Kazi Kutubuddin Sayyad Liyakat. Nanotechnology: Effective Pesticide Solutions for Jawar Leaf Diseases. Journal of Nanoscience, NanoEngineering & Applications. 2025; 15(02):-.
How to cite this URL:
Dr. Kazi Kutubuddin Sayyad Liyakat. Nanotechnology: Effective Pesticide Solutions for Jawar Leaf Diseases. Journal of Nanoscience, NanoEngineering & Applications. 2025; 15(02):-. Available from: https://journals.stmjournals.com/jonsnea/article=2025/view=204242


References

  1. Halli U M, “Nanotechnology in IoT Security”, Journal of Nanoscience, Nanoengineering & Applications, 2022, Vol 12, issue 3, pp. 11 – 16
  2. Wale Anjali D., Rokade Dipali, et al, “Smart Agriculture System using IoT”, International Journal of Innovative Research In Technology, 2019, Vol 5, Issue 10, pp.493 – 497.
  3. Halli U.M., “Nanotechnology in E-Vehicle Batteries”, International Journal of Nanomaterials and Nanostructures. 2022; Vol 8, Issue 2, pp. 22–27
  4. Altaf O. Mulani, Arti Vasant Bang, Ganesh B. Birajadar, Amar B. Deshmukh, and Hemlata Makarand Jadhav, (2024). IoT Based Air, Water, and Soil Monitoring System for Pomegranate Farming, Annals of Agri-Bio Research. 29 (2): 71-86, 2024.
  5. A. Tamboli, V. A. Sawant, M. H. M. and S. Sathe, “AI-Driven-IoT(AIIoT) Based Decision-Making- KSK Approach in Drones for Climate Change Study,” 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), Gobichettipalayam, India, 2024, pp. 1735-1744, doi: 10.1109/ICUIS64676.2024.10866450.
  6. Kazi, S. (2025a). Transformation of Agriculture Effectuated by Artificial Intelligence-Driven Internet of Things (AIIoT). In J. Garwi, M. Dzingirai, & R. Masengu (Eds.), Integrating Agriculture, Green Marketing Strategies, and Artificial Intelligence(pp. 449-484). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6468-0.ch015
  7. Kazi, S. (2025c). AI-Driven-IoT (AIIoT)-Based Decision Making in Drones for Climate Change: KSK Approach. In S. Aouadni& I. Aouadni (Eds.), Recent Theories and Applications for Multi-Criteria Decision-Making(pp. 311-340). IGI Global. https://doi.org/10.4018/979-8-3693-6502-1.ch011
  8. (2025). IoT Technologies for the Intelligent Dairy Industry: A New Challenge. In S. Thandekkattu& N. Vajjhala (Eds.), Designing Sustainable Internet of Things Solutions for Smart Industries(pp. 321-350). IGI Global. https://doi.org/10.4018/979-8-3693-5498-8.ch012
  9. Mahant, M. A. (2025). Machine Learning-Driven Internet of Things (MLIoT)-Based Healthcare Monitoring System. In N. Wickramasinghe (Ed.), Digitalization and the Transformation of the Healthcare Sector(pp. 205-236). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9641-4.ch007
  10. (2025a). AI-Powered-IoT (AIIoT)-Based Decision-Making System for BP Patient’s Healthcare Monitoring: KSK Approach for BP Patient Healthcare Monitoring. In S. Aouadni& I. Aouadni (Eds.), Recent Theories and Applications for Multi-Criteria Decision-Making (pp. 205-238). IGI Global.https://doi.org/10.4018/979-8-3693-6502-1.ch008
  11. Sayyad (2025b). AI-Powered IoT (AI IoT) for Decision-Making in Smart Agriculture: KSK Approach for Smart Agriculture. In S. Hai-Jew (Ed.), Enhancing Automated Decision-Making Through AI(pp. 67-96). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6230-3.ch003
  12. Sayyad (2025c). KK Approach to Increase Resilience in Internet of Things: A T-Cell Security Concept. In D. Darwish & K. Charan (Eds.), Analyzing Privacy and Security Difficulties in Social Media: New Challenges and Solutions (pp. 87-120). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9491-5.ch005
  13. Sayyad, (2025). KK Approach for IoT Security: T-Cell Concept. In Rajeev Kumar, Sheng-Lung Peng, & Ahmed Elngar (Eds.), Deep Learning Innovations for Securing Critical Infrastructures. IGI Global Scientific Publishing.
  14. Sayyad (2025d). Healthcare Monitoring System Driven by Machine Learning and Internet of Medical Things (MLIoMT). In V. Kumar, P. Katina, & J. Zhao (Eds.), Convergence of Internet of Medical Things (IoMT) and Generative AI (pp. 385-416). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6180-1.ch016
  15. Kazi KS, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine Learning for Brand Protection: A Review of a Proactive Defense Mechanism. Avoiding Ad Fraud and Supporting Brand Safety: Programmatic Advertising Solutions. 2025:175-220.
  16. Pankaj R Hotkar, Vishal Kulkarni, et al, “Implementation of Low Power and area efficient carry select Adder”, International Journal of Research in Engineering, Science and Management, 2019, Vol 2, Issue 4, pp. 183 – 184.
  17. K. Sayyad Liyakat, “Nanotechnology Application in Neural Growth Support System”, Nano Trends: A Journal of Nanotechnology and Its Applications, 2022, Vol 24, issue 2, pp. 47 – 55
  18. Mishra Sunil B, Liyakat KS, Liyakat KK. Nanotechnology’s Importance in Mechanical Engineering. development. 2024;4:5.
  19. Liyakat KK. Blynk IoT-powered water pump-based smart farming. Recent Trends in Semiconductor and Sensor Technology. 2024 Feb 3;1(1):8-14.
  20. Liyakat SS, Liyakat KK. IoT-based Alcohol Detector using Blynk. Journal of Electronics Design and Technology. 2024;1(1):10-5.
  21. Kazi Sultanabanu Sayyad Liyakat,(2023). Accepting Internet of Nano-Things: Synopsis, Developments, and Challenges. Journal of Nanoscience, Nanoengineering & Applications. 2023; 13(2): 17–26p. DOI: https://doi.org/10.37591/jonsnea.v13i2.1464
  22. Sunil Shivaji Dhanwe, et al. (2024). AI-driven IoT in Robotics: A Review, Journal of Mechanical Robotics, 9(1), 41-48.
  23. Kazi Sultanabanu Sayyad Liyakat, Kazi Kutubuddin Sayyad Liyakat. Nanomedicine as a Potential Therapeutic Approach to COVID-19. International Journal of Applied Nanotechnology. 2023; 9(2): 27–35p. Available at: https://materials.journalspub.info/index.php?journal=IJAN&page=article&op=view&path%5B%5D=1038
  24. Nagrale M, Pol RS, Birajadar GB, Mulani AO, Kutubuddin K, Liyakat S. Internet of robotic things in cardiac surgery: an innovative approach. African Journal of Biological Sciences. 2024;6(6):709-25.
  25. Liyakat KK. IoT based Healthcare Monitoring for COVID-Subvariant JN-1. Journal of Electronic Design Technology. 2023;14(3).
  26. Liyakat KK. Smart Motion Detection System using IoT: A NodeMCU and Blynk Framework. Journal of Microelectronics and Solid State Devices. 2023;10(3).
  27. Abhangrao CM, Dhanwe SS, Liyakat KK. Internet of Things in Mechatronics for Design and Manufacturing: A Review. Journals of Mechatronics Machine Design and Manufacturing. 2024 May 20:39-46.
  28. Liyakat KK. Nanotechnology in precision farming: The role of research. International Journal of Nanomaterials and Nanostructures. 2023;9(2):22-8.
  29. Kazi Kutubuddin Sayyad Liyakat. (2023). Home Automation System Based on GSM. Journal of VLSI Design Tools & Technology. 2023; 13(3): 7–12p.  https://doi.org/10.37591/jovdtt.v13i3.7877
  30. Kazi Kutubuddin Sayyad Liyakat (2024). Nanotechnology in Medical Applications: A Study. Nano Trends: A Journal of Nanotechnology and Its Applications. 2024; 26(2): 1–11p.
  31. Liyakat KK. Nanotechnology in battleField: A study. Journal of Nanoscience, Nanoengineering & Applications. 2024;14(2):18-30p.
  32. Sultananbanu Sayyad Liyakat Kazi, (2024). Polymer Applications in Energy Generation and Storage: A Forward Path. Journal of Nanoscience, Nanoengineering & Applications. 2024; 14(2): 31–39p.
  33. Kazi Kutubuddin Sayyad Liyakat, (2024). Review of Biopolymers in Agriculture Application: An Eco-Friendly Alternative. International Journal of Composite and Constituent Materials. 2024; 10(1): 50–62p.
  34. Liyakat KK. Railway Health-Monitoring Using KSK Approach: Decision-Making Using AIIoT Approach in Railways. Journal of Controller and Converters. 2024 Oct 23;9(3):1-0.
  35. K K Sayyad Liyakat. (2024). Impact of Nanotechnology on Battlefield Welfare: A Study. International Journal of Nanobiotechnology. 2024; 10(2): 19– 32p.
  36. Sultanabanu Sayyad Liyakat, (2024q). Nanotechnology in Healthcare Applications: A Study. International Journal of Nanobiotechnology. 2024; 10(2): 48–58p.
  37. Liyakat KK. Internet of Battlefield Things: An IoBT-inspired Battlefield of Tomorrow. Journal of Telecommunication, Switching Systems and Networks. 2024;11(3):11-9p.
  38. Mishra SB, Liyakat KK. AI-Driven-IoT (AIIoT)-Based Decision Making in Manufacturing Processes in Mechanical Engineering. Journal of Mechanical Robotics. 2024 Nov 18:27-37.
  39. Sunil B. Mishra (2024e). AI-Driven-IoT (AIIoT) Based Decision-Making in Molten Metal Processing, Journal of Industrial Mechanics, 9(2), 45-56.
  40. Liyakat KK. Impact of Nanotechnology on Battlefield Welfare: A Study. International journal of Nanobiotechnology. 2024;10(2):19-32p.
  41. Kazi Sultanabanu Sayyad Liyakat and Kazi Kutubuddin Sayyad Liyakat, Nanosensors in Agriculture Field: A Study. International Journal of Applied Nanotechnology. 2024; 10(02): 12-22p. Available from:https://journalspub.com/publication/ijan-v10i02-11625/
  42. Kazi Kutubuddin Sayyad Liyakat, Nanotechnology in Space Study. International Journal of Applied Nanotechnology. 2024; 10(02): 39-46p. Available from:https://journalspub.com/publication/ijan-v10i02-11616/
Regular Issue Subscription Review Article
Volume 15
Issue 02
Received 21/02/2025
Accepted 12/03/2025
Published 20/03/2025
Publication Time 27 Days
198

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